Dataset statistics
| Number of variables | 16 |
|---|---|
| Number of observations | 84464 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 10.3 MiB |
| Average record size in memory | 128.0 B |
Variable types
| Categorical | 5 |
|---|---|
| Numeric | 11 |
Month has a high cardinality: 453 distinct values | High cardinality |
ForeignPort has a high cardinality: 192 distinct values | High cardinality |
Country has a high cardinality: 74 distinct values | High cardinality |
Passengers_In is highly overall correlated with Freight_In_(tonnes) and 6 other fields | High correlation |
Freight_In_(tonnes) is highly overall correlated with Passengers_In and 7 other fields | High correlation |
Mail_In_(tonnes) is highly overall correlated with Passengers_In and 7 other fields | High correlation |
Passengers_Out is highly overall correlated with Passengers_In and 6 other fields | High correlation |
Freight_Out_(tonnes) is highly overall correlated with Passengers_In and 7 other fields | High correlation |
Mail_Out_(tonnes) is highly overall correlated with Freight_In_(tonnes) and 4 other fields | High correlation |
Passengers_Total is highly overall correlated with Passengers_In and 6 other fields | High correlation |
Freight_Total_(tonnes) is highly overall correlated with Passengers_In and 7 other fields | High correlation |
Mail_Total_(tonnes) is highly overall correlated with Passengers_In and 7 other fields | High correlation |
Passengers_In has 9946 (11.8%) zeros | Zeros |
Freight_In_(tonnes) has 21606 (25.6%) zeros | Zeros |
Mail_In_(tonnes) has 47513 (56.3%) zeros | Zeros |
Passengers_Out has 9077 (10.7%) zeros | Zeros |
Freight_Out_(tonnes) has 21045 (24.9%) zeros | Zeros |
Mail_Out_(tonnes) has 44812 (53.1%) zeros | Zeros |
Passengers_Total has 5904 (7.0%) zeros | Zeros |
Freight_Total_(tonnes) has 16001 (18.9%) zeros | Zeros |
Mail_Total_(tonnes) has 36538 (43.3%) zeros | Zeros |
Reproduction
| Analysis started | 2023-03-04 09:51:11.973210 |
|---|---|
| Analysis finished | 2023-03-04 09:51:34.920152 |
| Duration | 22.95 seconds |
| Software version | pandas-profiling v3.6.6 |
| Download configuration | config.json |
Month
Categorical
| Distinct | 453 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 660.0 KiB |
| Jun-00 | 314 |
|---|---|
| Oct-99 | 311 |
| Nov-99 | 311 |
| Dec-99 | 311 |
| Apr-00 | 307 |
| Other values (448) |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 6 |
| Min length | 6 |
Characters and Unicode
| Total characters | 506784 |
|---|---|
| Distinct characters | 33 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Jan-85 |
|---|---|
| 2nd row | Jan-85 |
| 3rd row | Jan-85 |
| 4th row | Jan-85 |
| 5th row | Jan-85 |
Common Values
| Value | Count | Frequency (%) |
| Jun-00 | 314 | 0.4% |
| Oct-99 | 311 | 0.4% |
| Nov-99 | 311 | 0.4% |
| Dec-99 | 311 | 0.4% |
| Apr-00 | 307 | 0.4% |
| May-00 | 306 | 0.4% |
| Feb-00 | 305 | 0.4% |
| Mar-00 | 304 | 0.4% |
| Oct-00 | 291 | 0.3% |
| Jan-00 | 290 | 0.3% |
| Other values (443) | 81414 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| jun-00 | 314 | 0.4% |
| dec-99 | 311 | 0.4% |
| oct-99 | 311 | 0.4% |
| nov-99 | 311 | 0.4% |
| apr-00 | 307 | 0.4% |
| may-00 | 306 | 0.4% |
| feb-00 | 305 | 0.4% |
| mar-00 | 304 | 0.4% |
| oct-00 | 291 | 0.3% |
| jan-00 | 290 | 0.3% |
| Other values (443) | 81414 |
Most occurring characters
| Value | Count | Frequency (%) |
| - | 84464 | |
| 9 | 37778 | 7.5% |
| 0 | 31157 | 6.1% |
| 1 | 27847 | 5.5% |
| e | 21233 | 4.2% |
| a | 21188 | 4.2% |
| J | 21156 | 4.2% |
| u | 21063 | 4.2% |
| 8 | 20737 | 4.1% |
| n | 14125 | 2.8% |
| Other values (23) | 206036 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 168928 | |
| Lowercase Letter | 168928 | |
| Dash Punctuation | 84464 | |
| Uppercase Letter | 84464 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 21233 | |
| a | 21188 | |
| u | 21063 | |
| n | 14125 | |
| c | 14124 | |
| r | 14109 | |
| p | 14032 | |
| b | 7087 | 4.2% |
| t | 7034 | 4.2% |
| l | 7031 | 4.2% |
| Other values (4) | 27902 |
Decimal Number
| Value | Count | Frequency (%) |
| 9 | 37778 | |
| 0 | 31157 | |
| 1 | 27847 | |
| 8 | 20737 | |
| 2 | 11936 | 7.1% |
| 7 | 9371 | 5.5% |
| 6 | 9038 | 5.4% |
| 5 | 8477 | 5.0% |
| 3 | 6324 | 3.7% |
| 4 | 6263 | 3.7% |
Uppercase Letter
| Value | Count | Frequency (%) |
| J | 21156 | |
| M | 14080 | |
| A | 13991 | |
| D | 7090 | 8.4% |
| F | 7087 | 8.4% |
| S | 7056 | 8.4% |
| O | 7034 | 8.3% |
| N | 6970 | 8.3% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 84464 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 253392 | |
| Latin | 253392 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 21233 | 8.4% |
| a | 21188 | 8.4% |
| J | 21156 | 8.3% |
| u | 21063 | 8.3% |
| n | 14125 | 5.6% |
| c | 14124 | 5.6% |
| r | 14109 | 5.6% |
| M | 14080 | 5.6% |
| p | 14032 | 5.5% |
| A | 13991 | 5.5% |
| Other values (12) | 84291 |
Common
| Value | Count | Frequency (%) |
| - | 84464 | |
| 9 | 37778 | |
| 0 | 31157 | 12.3% |
| 1 | 27847 | 11.0% |
| 8 | 20737 | 8.2% |
| 2 | 11936 | 4.7% |
| 7 | 9371 | 3.7% |
| 6 | 9038 | 3.6% |
| 5 | 8477 | 3.3% |
| 3 | 6324 | 2.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 506784 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| - | 84464 | |
| 9 | 37778 | 7.5% |
| 0 | 31157 | 6.1% |
| 1 | 27847 | 5.5% |
| e | 21233 | 4.2% |
| a | 21188 | 4.2% |
| J | 21156 | 4.2% |
| u | 21063 | 4.2% |
| 8 | 20737 | 4.1% |
| n | 14125 | 2.8% |
| Other values (23) | 206036 |
AustralianPort
Categorical
| Distinct | 19 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 660.0 KiB |
| Sydney | |
|---|---|
| Melbourne | |
| Brisbane | |
| Perth | |
| Cairns | |
| Other values (14) |
Length
| Max length | 22 |
|---|---|
| Median length | 18 |
| Mean length | 7.2322883 |
| Min length | 5 |
Characters and Unicode
| Total characters | 610868 |
|---|---|
| Distinct characters | 37 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Adelaide |
|---|---|
| 2nd row | Adelaide |
| 3rd row | Adelaide |
| 4th row | Adelaide |
| 5th row | Adelaide |
Common Values
| Value | Count | Frequency (%) |
| Sydney | 23688 | |
| Melbourne | 16963 | |
| Brisbane | 13916 | |
| Perth | 9019 | 10.7% |
| Cairns | 6811 | 8.1% |
| Adelaide | 6047 | 7.2% |
| Darwin | 4446 | 5.3% |
| Gold Coast | 1016 | 1.2% |
| Townsville | 660 | 0.8% |
| Gold Coast/Coolangatta | 503 | 0.6% |
| Other values (9) | 1395 | 1.7% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| sydney | 23688 | |
| melbourne | 16963 | |
| brisbane | 13916 | |
| perth | 9019 | 10.4% |
| cairns | 6811 | 7.8% |
| adelaide | 6047 | 7.0% |
| darwin | 4446 | 5.1% |
| gold | 1519 | 1.7% |
| coast | 1057 | 1.2% |
| townsville | 660 | 0.8% |
| Other values (13) | 2776 | 3.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 93887 | |
| n | 67952 | |
| r | 52496 | 8.6% |
| y | 47376 | 7.8% |
| d | 38377 | 6.3% |
| a | 35869 | 5.9% |
| i | 32001 | 5.2% |
| b | 31389 | 5.1% |
| l | 27759 | 4.5% |
| S | 23729 | 3.9% |
| Other values (27) | 160033 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 520522 | |
| Uppercase Letter | 87405 | 14.3% |
| Space Separator | 2438 | 0.4% |
| Other Punctuation | 503 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 93887 | |
| n | 67952 | |
| r | 52496 | |
| y | 47376 | |
| d | 38377 | |
| a | 35869 | 6.9% |
| i | 32001 | 6.1% |
| b | 31389 | 6.0% |
| l | 27759 | 5.3% |
| s | 23668 | 4.5% |
| Other values (12) | 69748 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 23729 | |
| M | 16963 | |
| B | 13953 | |
| P | 9306 | 10.6% |
| C | 9048 | 10.4% |
| A | 6047 | 6.9% |
| D | 4446 | 5.1% |
| G | 1519 | 1.7% |
| T | 749 | 0.9% |
| H | 614 | 0.7% |
| Other values (3) | 1031 | 1.2% |
Space Separator
| Value | Count | Frequency (%) |
| 2438 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 503 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 607927 | |
| Common | 2941 | 0.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 93887 | |
| n | 67952 | |
| r | 52496 | 8.6% |
| y | 47376 | 7.8% |
| d | 38377 | 6.3% |
| a | 35869 | 5.9% |
| i | 32001 | 5.3% |
| b | 31389 | 5.2% |
| l | 27759 | 4.6% |
| S | 23729 | 3.9% |
| Other values (25) | 157092 |
Common
| Value | Count | Frequency (%) |
| 2438 | ||
| / | 503 | 17.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 610868 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 93887 | |
| n | 67952 | |
| r | 52496 | 8.6% |
| y | 47376 | 7.8% |
| d | 38377 | 6.3% |
| a | 35869 | 5.9% |
| i | 32001 | 5.2% |
| b | 31389 | 5.1% |
| l | 27759 | 4.5% |
| S | 23729 | 3.9% |
| Other values (27) | 160033 |
ForeignPort
Categorical
| Distinct | 192 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 660.0 KiB |
| Auckland | 3566 |
|---|---|
| Singapore | 3394 |
| Denpasar | 3033 |
| Hong Kong | 2913 |
| Kuala Lumpur | 2583 |
| Other values (187) |
Length
| Max length | 22 |
|---|---|
| Median length | 15 |
| Mean length | 8.0699825 |
| Min length | 3 |
Characters and Unicode
| Total characters | 681623 |
|---|---|
| Distinct characters | 56 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 13 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | Auckland |
|---|---|
| 2nd row | Bahrain |
| 3rd row | Bombay |
| 4th row | Frankfurt |
| 5th row | London |
Common Values
| Value | Count | Frequency (%) |
| Auckland | 3566 | 4.2% |
| Singapore | 3394 | 4.0% |
| Denpasar | 3033 | 3.6% |
| Hong Kong | 2913 | 3.4% |
| Kuala Lumpur | 2583 | 3.1% |
| Tokyo | 2475 | 2.9% |
| Bangkok | 2413 | 2.9% |
| Christchurch | 2286 | 2.7% |
| Los Angeles | 2104 | 2.5% |
| London | 2074 | 2.5% |
| Other values (182) | 57623 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| auckland | 3566 | 3.4% |
| singapore | 3394 | 3.3% |
| denpasar | 3033 | 2.9% |
| port | 2995 | 2.9% |
| hong | 2913 | 2.8% |
| kong | 2913 | 2.8% |
| kuala | 2583 | 2.5% |
| lumpur | 2583 | 2.5% |
| tokyo | 2475 | 2.4% |
| bangkok | 2413 | 2.3% |
| Other values (215) | 75072 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 78189 | 11.5% |
| n | 60106 | 8.8% |
| o | 59603 | 8.7% |
| r | 40962 | 6.0% |
| e | 40364 | 5.9% |
| u | 38882 | 5.7% |
| i | 35341 | 5.2% |
| g | 25913 | 3.8% |
| l | 23578 | 3.5% |
| s | 21842 | 3.2% |
| Other values (46) | 256843 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 558206 | |
| Uppercase Letter | 103856 | 15.2% |
| Space Separator | 19476 | 2.9% |
| Other Punctuation | 81 | < 0.1% |
| Open Punctuation | 2 | < 0.1% |
| Close Punctuation | 2 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 78189 | |
| n | 60106 | |
| o | 59603 | |
| r | 40962 | 7.3% |
| e | 40364 | 7.2% |
| u | 38882 | 7.0% |
| i | 35341 | 6.3% |
| g | 25913 | 4.6% |
| l | 23578 | 4.2% |
| s | 21842 | 3.9% |
| Other values (16) | 133426 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 9737 | 9.4% |
| S | 9154 | 8.8% |
| H | 8506 | 8.2% |
| B | 8048 | 7.7% |
| L | 7329 | 7.1% |
| D | 7000 | 6.7% |
| M | 6358 | 6.1% |
| K | 6310 | 6.1% |
| N | 6264 | 6.0% |
| P | 5813 | 5.6% |
| Other values (16) | 29337 |
Space Separator
| Value | Count | Frequency (%) |
| 19476 |
Other Punctuation
| Value | Count | Frequency (%) |
| ' | 81 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 2 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 2 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 662062 | |
| Common | 19561 | 2.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 78189 | 11.8% |
| n | 60106 | 9.1% |
| o | 59603 | 9.0% |
| r | 40962 | 6.2% |
| e | 40364 | 6.1% |
| u | 38882 | 5.9% |
| i | 35341 | 5.3% |
| g | 25913 | 3.9% |
| l | 23578 | 3.6% |
| s | 21842 | 3.3% |
| Other values (42) | 237282 |
Common
| Value | Count | Frequency (%) |
| 19476 | ||
| ' | 81 | 0.4% |
| ( | 2 | < 0.1% |
| ) | 2 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 681623 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 78189 | 11.5% |
| n | 60106 | 8.8% |
| o | 59603 | 8.7% |
| r | 40962 | 6.0% |
| e | 40364 | 5.9% |
| u | 38882 | 5.7% |
| i | 35341 | 5.2% |
| g | 25913 | 3.8% |
| l | 23578 | 3.5% |
| s | 21842 | 3.2% |
| Other values (46) | 256843 |
Country
Categorical
| Distinct | 74 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 660.0 KiB |
| New Zealand | |
|---|---|
| USA | |
| Japan | |
| Indonesia | |
| China | 4435 |
| Other values (69) |
Length
| Max length | 20 |
|---|---|
| Median length | 14 |
| Mean length | 7.8382033 |
| Min length | 2 |
Characters and Unicode
| Total characters | 662046 |
|---|---|
| Distinct characters | 53 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | New Zealand |
|---|---|
| 2nd row | Bahrain |
| 3rd row | India |
| 4th row | Germany |
| 5th row | UK |
Common Values
| Value | Count | Frequency (%) |
| New Zealand | 10066 | 11.9% |
| USA | 8879 | 10.5% |
| Japan | 5612 | 6.6% |
| Indonesia | 5366 | 6.4% |
| China | 4435 | 5.3% |
| Singapore | 3394 | 4.0% |
| Thailand | 3088 | 3.7% |
| Malaysia | 2937 | 3.5% |
| UK | 2871 | 3.4% |
| Canada | 2325 | 2.8% |
| Other values (64) | 35491 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| new | 13423 | 12.0% |
| zealand | 10066 | 9.0% |
| usa | 8879 | 7.9% |
| japan | 5612 | 5.0% |
| indonesia | 5366 | 4.8% |
| china | 4435 | 4.0% |
| singapore | 3394 | 3.0% |
| thailand | 3088 | 2.8% |
| malaysia | 2937 | 2.6% |
| hong | 2913 | 2.6% |
| Other values (75) | 51787 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 105814 | |
| n | 67765 | 10.2% |
| e | 54615 | 8.2% |
| i | 49743 | 7.5% |
| d | 27568 | 4.2% |
| 27436 | 4.1% | |
| l | 24117 | 3.6% |
| o | 22653 | 3.4% |
| r | 20003 | 3.0% |
| s | 17587 | 2.7% |
| Other values (43) | 244745 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 497373 | |
| Uppercase Letter | 134883 | 20.4% |
| Space Separator | 27436 | 4.1% |
| Open Punctuation | 1177 | 0.2% |
| Close Punctuation | 1177 | 0.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 105814 | |
| n | 67765 | |
| e | 54615 | |
| i | 49743 | |
| d | 27568 | 5.5% |
| l | 24117 | 4.8% |
| o | 22653 | 4.6% |
| r | 20003 | 4.0% |
| s | 17587 | 3.5% |
| w | 15414 | 3.1% |
| Other values (15) | 92094 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 16526 | |
| N | 14759 | |
| A | 14541 | |
| U | 14069 | |
| Z | 10760 | 8.0% |
| I | 9150 | 6.8% |
| C | 8752 | 6.5% |
| K | 6911 | 5.1% |
| J | 5612 | 4.2% |
| T | 5532 | 4.1% |
| Other values (15) | 28271 |
Space Separator
| Value | Count | Frequency (%) |
| 27436 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 1177 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 1177 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 632256 | |
| Common | 29790 | 4.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 105814 | |
| n | 67765 | 10.7% |
| e | 54615 | 8.6% |
| i | 49743 | 7.9% |
| d | 27568 | 4.4% |
| l | 24117 | 3.8% |
| o | 22653 | 3.6% |
| r | 20003 | 3.2% |
| s | 17587 | 2.8% |
| S | 16526 | 2.6% |
| Other values (40) | 225865 |
Common
| Value | Count | Frequency (%) |
| 27436 | ||
| ( | 1177 | 4.0% |
| ) | 1177 | 4.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 662046 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 105814 | |
| n | 67765 | 10.2% |
| e | 54615 | 8.2% |
| i | 49743 | 7.5% |
| d | 27568 | 4.2% |
| 27436 | 4.1% | |
| l | 24117 | 3.6% |
| o | 22653 | 3.4% |
| r | 20003 | 3.0% |
| s | 17587 | 2.7% |
| Other values (43) | 244745 |
Passengers_In
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 17287 |
|---|---|
| Distinct (%) | 20.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4271.1428 |
| Minimum | 0 |
|---|---|
| Maximum | 84314 |
| Zeros | 9946 |
| Zeros (%) | 11.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 660.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 109 |
| median | 1157 |
| Q3 | 4442 |
| 95-th percentile | 19952 |
| Maximum | 84314 |
| Range | 84314 |
| Interquartile range (IQR) | 4333 |
Descriptive statistics
| Standard deviation | 8164.7221 |
|---|---|
| Coefficient of variation (CV) | 1.9116013 |
| Kurtosis | 17.185949 |
| Mean | 4271.1428 |
| Median Absolute Deviation (MAD) | 1156 |
| Skewness | 3.6861863 |
| Sum | 3.6075781 × 108 |
| Variance | 66662687 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 9946 | 11.8% |
| 1 | 673 | 0.8% |
| 2 | 594 | 0.7% |
| 4 | 390 | 0.5% |
| 3 | 380 | 0.4% |
| 5 | 306 | 0.4% |
| 6 | 305 | 0.4% |
| 7 | 245 | 0.3% |
| 9 | 240 | 0.3% |
| 8 | 238 | 0.3% |
| Other values (17277) | 71147 |
| Value | Count | Frequency (%) |
| 0 | 9946 | |
| 1 | 673 | 0.8% |
| 2 | 594 | 0.7% |
| 3 | 380 | 0.4% |
| 4 | 390 | 0.5% |
| 5 | 306 | 0.4% |
| 6 | 305 | 0.4% |
| 7 | 245 | 0.3% |
| 8 | 238 | 0.3% |
| 9 | 240 | 0.3% |
| Value | Count | Frequency (%) |
| 84314 | 1 | |
| 83898 | 1 | |
| 83286 | 1 | |
| 82151 | 1 | |
| 80960 | 1 | |
| 80444 | 1 | |
| 79916 | 1 | |
| 79691 | 1 | |
| 79614 | 1 | |
| 79046 | 1 |
Freight_In_(tonnes)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 47861 |
|---|---|
| Distinct (%) | 56.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 160.61183 |
| Minimum | 0 |
|---|---|
| Maximum | 6764.923 |
| Zeros | 21606 |
| Zeros (%) | 25.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 660.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 13.2955 |
| Q3 | 128.14525 |
| 95-th percentile | 848.32255 |
| Maximum | 6764.923 |
| Range | 6764.923 |
| Interquartile range (IQR) | 128.14525 |
Descriptive statistics
| Standard deviation | 392.51278 |
|---|---|
| Coefficient of variation (CV) | 2.4438597 |
| Kurtosis | 32.720667 |
| Mean | 160.61183 |
| Median Absolute Deviation (MAD) | 13.2955 |
| Skewness | 4.7773496 |
| Sum | 13565918 |
| Variance | 154066.28 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 21606 | 25.6% |
| 0.1 | 105 | 0.1% |
| 0.002 | 72 | 0.1% |
| 0.01 | 70 | 0.1% |
| 0.001 | 69 | 0.1% |
| 0.2 | 67 | 0.1% |
| 0.003 | 57 | 0.1% |
| 0.004 | 54 | 0.1% |
| 0.005 | 53 | 0.1% |
| 0.007 | 48 | 0.1% |
| Other values (47851) | 62263 |
| Value | Count | Frequency (%) |
| 0 | 21606 | |
| 0.001 | 69 | 0.1% |
| 0.002 | 72 | 0.1% |
| 0.003 | 57 | 0.1% |
| 0.004 | 54 | 0.1% |
| 0.005 | 53 | 0.1% |
| 0.006 | 33 | < 0.1% |
| 0.007 | 48 | 0.1% |
| 0.008 | 43 | 0.1% |
| 0.009 | 35 | < 0.1% |
| Value | Count | Frequency (%) |
| 6764.923 | 1 | |
| 6725.072 | 1 | |
| 6615.954 | 1 | |
| 6493.122 | 1 | |
| 6469.027 | 1 | |
| 6368.841 | 1 | |
| 6260.926 | 1 | |
| 6253.855 | 1 | |
| 6104.398 | 1 | |
| 5909.797 | 1 |
Mail_In_(tonnes)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 17652 |
|---|---|
| Distinct (%) | 20.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.5504775 |
| Minimum | 0 |
|---|---|
| Maximum | 393.705 |
| Zeros | 47513 |
| Zeros (%) | 56.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 660.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1.64625 |
| 95-th percentile | 48.4543 |
| Maximum | 393.705 |
| Range | 393.705 |
| Interquartile range (IQR) | 1.64625 |
Descriptive statistics
| Standard deviation | 24.237905 |
|---|---|
| Coefficient of variation (CV) | 3.2101155 |
| Kurtosis | 37.468186 |
| Mean | 7.5504775 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 5.3839626 |
| Sum | 637743.53 |
| Variance | 587.47603 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 47513 | |
| 0.001 | 288 | 0.3% |
| 0.002 | 166 | 0.2% |
| 0.004 | 147 | 0.2% |
| 0.006 | 126 | 0.1% |
| 0.009 | 114 | 0.1% |
| 0.005 | 108 | 0.1% |
| 0.003 | 107 | 0.1% |
| 0.008 | 100 | 0.1% |
| 0.007 | 94 | 0.1% |
| Other values (17642) | 35701 |
| Value | Count | Frequency (%) |
| 0 | 47513 | |
| 0.001 | 288 | 0.3% |
| 0.002 | 166 | 0.2% |
| 0.003 | 107 | 0.1% |
| 0.004 | 147 | 0.2% |
| 0.005 | 108 | 0.1% |
| 0.006 | 126 | 0.1% |
| 0.007 | 94 | 0.1% |
| 0.008 | 100 | 0.1% |
| 0.009 | 114 | 0.1% |
| Value | Count | Frequency (%) |
| 393.705 | 1 | |
| 350.756 | 1 | |
| 349.801 | 1 | |
| 348.758 | 1 | |
| 340.111 | 1 | |
| 337.882 | 1 | |
| 323.973 | 1 | |
| 317.128 | 1 | |
| 314.621 | 1 | |
| 313.785 | 1 |
Passengers_Out
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 17243 |
|---|---|
| Distinct (%) | 20.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4211.6944 |
| Minimum | 0 |
|---|---|
| Maximum | 83168 |
| Zeros | 9077 |
| Zeros (%) | 10.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 660.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 115 |
| median | 1139 |
| Q3 | 4294.25 |
| 95-th percentile | 19825 |
| Maximum | 83168 |
| Range | 83168 |
| Interquartile range (IQR) | 4179.25 |
Descriptive statistics
| Standard deviation | 8032.9435 |
|---|---|
| Coefficient of variation (CV) | 1.907295 |
| Kurtosis | 16.956186 |
| Mean | 4211.6944 |
| Median Absolute Deviation (MAD) | 1136 |
| Skewness | 3.6545525 |
| Sum | 3.5573655 × 108 |
| Variance | 64528181 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 9077 | 10.7% |
| 1 | 705 | 0.8% |
| 2 | 594 | 0.7% |
| 3 | 425 | 0.5% |
| 4 | 412 | 0.5% |
| 5 | 334 | 0.4% |
| 6 | 294 | 0.3% |
| 8 | 259 | 0.3% |
| 7 | 258 | 0.3% |
| 10 | 231 | 0.3% |
| Other values (17233) | 71875 |
| Value | Count | Frequency (%) |
| 0 | 9077 | |
| 1 | 705 | 0.8% |
| 2 | 594 | 0.7% |
| 3 | 425 | 0.5% |
| 4 | 412 | 0.5% |
| 5 | 334 | 0.4% |
| 6 | 294 | 0.3% |
| 7 | 258 | 0.3% |
| 8 | 259 | 0.3% |
| 9 | 206 | 0.2% |
| Value | Count | Frequency (%) |
| 83168 | 1 | |
| 83117 | 1 | |
| 82766 | 1 | |
| 82560 | 1 | |
| 82242 | 1 | |
| 82129 | 1 | |
| 80894 | 1 | |
| 78836 | 1 | |
| 78738 | 1 | |
| 78138 | 1 |
Freight_Out_(tonnes)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 47726 |
|---|---|
| Distinct (%) | 56.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 144.27271 |
| Minimum | 0 |
|---|---|
| Maximum | 4996.582 |
| Zeros | 21045 |
| Zeros (%) | 24.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 660.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0.002 |
| median | 13.322 |
| Q3 | 112.035 |
| 95-th percentile | 752.7987 |
| Maximum | 4996.582 |
| Range | 4996.582 |
| Interquartile range (IQR) | 112.033 |
Descriptive statistics
| Standard deviation | 358.84141 |
|---|---|
| Coefficient of variation (CV) | 2.4872439 |
| Kurtosis | 26.287902 |
| Mean | 144.27271 |
| Median Absolute Deviation (MAD) | 13.322 |
| Skewness | 4.59457 |
| Sum | 12185850 |
| Variance | 128767.16 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 21045 | 24.9% |
| 0.1 | 77 | 0.1% |
| 0.001 | 67 | 0.1% |
| 0.01 | 60 | 0.1% |
| 0.02 | 55 | 0.1% |
| 0.002 | 49 | 0.1% |
| 0.005 | 45 | 0.1% |
| 0.015 | 45 | 0.1% |
| 0.004 | 43 | 0.1% |
| 0.04 | 43 | 0.1% |
| Other values (47716) | 62935 |
| Value | Count | Frequency (%) |
| 0 | 21045 | |
| 0.001 | 67 | 0.1% |
| 0.002 | 49 | 0.1% |
| 0.003 | 38 | < 0.1% |
| 0.004 | 43 | 0.1% |
| 0.005 | 45 | 0.1% |
| 0.006 | 43 | 0.1% |
| 0.007 | 34 | < 0.1% |
| 0.008 | 39 | < 0.1% |
| 0.009 | 40 | < 0.1% |
| Value | Count | Frequency (%) |
| 4996.582 | 1 | |
| 4422.703 | 1 | |
| 4380.961 | 1 | |
| 4319.344 | 1 | |
| 4287.038 | 1 | |
| 4211.761 | 1 | |
| 4179.273 | 1 | |
| 4141.178 | 1 | |
| 4089.763 | 1 | |
| 4035.849 | 1 |
Mail_Out_(tonnes)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 15497 |
|---|---|
| Distinct (%) | 18.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.4907096 |
| Minimum | 0 |
|---|---|
| Maximum | 382.229 |
| Zeros | 44812 |
| Zeros (%) | 53.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 660.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1.508 |
| 95-th percentile | 27.5669 |
| Maximum | 382.229 |
| Range | 382.229 |
| Interquartile range (IQR) | 1.508 |
Descriptive statistics
| Standard deviation | 14.230078 |
|---|---|
| Coefficient of variation (CV) | 3.1687815 |
| Kurtosis | 65.516284 |
| Mean | 4.4907096 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 6.3062514 |
| Sum | 379303.3 |
| Variance | 202.49511 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 44812 | |
| 0.001 | 219 | 0.3% |
| 0.004 | 146 | 0.2% |
| 0.003 | 136 | 0.2% |
| 0.002 | 135 | 0.2% |
| 0.005 | 129 | 0.2% |
| 0.008 | 119 | 0.1% |
| 0.011 | 117 | 0.1% |
| 0.006 | 110 | 0.1% |
| 0.012 | 107 | 0.1% |
| Other values (15487) | 38434 |
| Value | Count | Frequency (%) |
| 0 | 44812 | |
| 0.001 | 219 | 0.3% |
| 0.002 | 135 | 0.2% |
| 0.003 | 136 | 0.2% |
| 0.004 | 146 | 0.2% |
| 0.005 | 129 | 0.2% |
| 0.006 | 110 | 0.1% |
| 0.007 | 107 | 0.1% |
| 0.008 | 119 | 0.1% |
| 0.009 | 103 | 0.1% |
| Value | Count | Frequency (%) |
| 382.229 | 1 | |
| 359.956 | 1 | |
| 358.67 | 1 | |
| 353.028 | 1 | |
| 323.718 | 1 | |
| 298.339 | 1 | |
| 288.633 | 1 | |
| 254.821 | 1 | |
| 249.821 | 1 | |
| 246.197 | 1 |
Passengers_Total
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 24195 |
|---|---|
| Distinct (%) | 28.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8482.8372 |
| Minimum | 0 |
|---|---|
| Maximum | 162036 |
| Zeros | 5904 |
| Zeros (%) | 7.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 660.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 246 |
| median | 2310.5 |
| Q3 | 8794 |
| 95-th percentile | 39649.65 |
| Maximum | 162036 |
| Range | 162036 |
| Interquartile range (IQR) | 8548 |
Descriptive statistics
| Standard deviation | 16125.377 |
|---|---|
| Coefficient of variation (CV) | 1.9009415 |
| Kurtosis | 16.808226 |
| Mean | 8482.8372 |
| Median Absolute Deviation (MAD) | 2295.5 |
| Skewness | 3.6502182 |
| Sum | 7.1649436 × 108 |
| Variance | 2.600278 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 5904 | 7.0% |
| 1 | 713 | 0.8% |
| 2 | 651 | 0.8% |
| 3 | 430 | 0.5% |
| 4 | 382 | 0.5% |
| 5 | 348 | 0.4% |
| 6 | 317 | 0.4% |
| 7 | 270 | 0.3% |
| 8 | 254 | 0.3% |
| 10 | 235 | 0.3% |
| Other values (24185) | 74960 |
| Value | Count | Frequency (%) |
| 0 | 5904 | |
| 1 | 713 | 0.8% |
| 2 | 651 | 0.8% |
| 3 | 430 | 0.5% |
| 4 | 382 | 0.5% |
| 5 | 348 | 0.4% |
| 6 | 317 | 0.4% |
| 7 | 270 | 0.3% |
| 8 | 254 | 0.3% |
| 9 | 228 | 0.3% |
| Value | Count | Frequency (%) |
| 162036 | 1 | |
| 160623 | 1 | |
| 160620 | 1 | |
| 158788 | 1 | |
| 155739 | 1 | |
| 155277 | 1 | |
| 155006 | 1 | |
| 154936 | 1 | |
| 153274 | 1 | |
| 152700 | 1 |
Freight_Total_(tonnes)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 55901 |
|---|---|
| Distinct (%) | 66.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 304.88454 |
| Minimum | 0 |
|---|---|
| Maximum | 9889.553 |
| Zeros | 16001 |
| Zeros (%) | 18.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 660.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0.61975 |
| median | 39.643 |
| Q3 | 259.63425 |
| 95-th percentile | 1624.476 |
| Maximum | 9889.553 |
| Range | 9889.553 |
| Interquartile range (IQR) | 259.0145 |
Descriptive statistics
| Standard deviation | 709.13079 |
|---|---|
| Coefficient of variation (CV) | 2.3258995 |
| Kurtosis | 23.951986 |
| Mean | 304.88454 |
| Median Absolute Deviation (MAD) | 39.643 |
| Skewness | 4.3263864 |
| Sum | 25751768 |
| Variance | 502866.47 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 16001 | 18.9% |
| 0.1 | 65 | 0.1% |
| 0.01 | 61 | 0.1% |
| 0.001 | 56 | 0.1% |
| 0.002 | 54 | 0.1% |
| 0.004 | 42 | < 0.1% |
| 0.009 | 41 | < 0.1% |
| 0.02 | 40 | < 0.1% |
| 0.17 | 39 | < 0.1% |
| 0.012 | 39 | < 0.1% |
| Other values (55891) | 68026 |
| Value | Count | Frequency (%) |
| 0 | 16001 | |
| 0.001 | 56 | 0.1% |
| 0.002 | 54 | 0.1% |
| 0.003 | 38 | < 0.1% |
| 0.004 | 42 | < 0.1% |
| 0.005 | 37 | < 0.1% |
| 0.006 | 38 | < 0.1% |
| 0.007 | 32 | < 0.1% |
| 0.008 | 35 | < 0.1% |
| 0.009 | 41 | < 0.1% |
| Value | Count | Frequency (%) |
| 9889.553 | 1 | |
| 9646.309 | 1 | |
| 9561.433 | 1 | |
| 9315.425 | 1 | |
| 9026.831 | 1 | |
| 8959.197 | 1 | |
| 8955.371 | 1 | |
| 8589.115 | 1 | |
| 8580.798 | 1 | |
| 8396.16 | 1 |
Mail_Total_(tonnes)
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 22038 |
|---|---|
| Distinct (%) | 26.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12.041187 |
| Minimum | 0 |
|---|---|
| Maximum | 566.993 |
| Zeros | 36538 |
| Zeros (%) | 43.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 660.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0.105 |
| Q3 | 4.81325 |
| 95-th percentile | 74.27915 |
| Maximum | 566.993 |
| Range | 566.993 |
| Interquartile range (IQR) | 4.81325 |
Descriptive statistics
| Standard deviation | 34.578751 |
|---|---|
| Coefficient of variation (CV) | 2.8717061 |
| Kurtosis | 30.138195 |
| Mean | 12.041187 |
| Median Absolute Deviation (MAD) | 0.105 |
| Skewness | 4.8147981 |
| Sum | 1017046.8 |
| Variance | 1195.69 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 36538 | |
| 0.001 | 244 | 0.3% |
| 0.004 | 132 | 0.2% |
| 0.002 | 132 | 0.2% |
| 0.005 | 120 | 0.1% |
| 0.006 | 115 | 0.1% |
| 0.011 | 112 | 0.1% |
| 0.012 | 110 | 0.1% |
| 0.013 | 106 | 0.1% |
| 0.003 | 104 | 0.1% |
| Other values (22028) | 46751 |
| Value | Count | Frequency (%) |
| 0 | 36538 | |
| 0.001 | 244 | 0.3% |
| 0.002 | 132 | 0.2% |
| 0.003 | 104 | 0.1% |
| 0.004 | 132 | 0.2% |
| 0.005 | 120 | 0.1% |
| 0.006 | 115 | 0.1% |
| 0.007 | 98 | 0.1% |
| 0.008 | 98 | 0.1% |
| 0.009 | 87 | 0.1% |
| Value | Count | Frequency (%) |
| 566.993 | 1 | |
| 547.83 | 1 | |
| 541.348 | 1 | |
| 489.908 | 1 | |
| 483.767 | 1 | |
| 474.902 | 1 | |
| 456.677 | 1 | |
| 444.414 | 1 | |
| 441.447 | 1 | |
| 429.292 | 1 |
Year
Real number (ℝ)
| Distinct | 38 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2001.9032 |
| Minimum | 1985 |
|---|---|
| Maximum | 2022 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 660.0 KiB |
Quantile statistics
| Minimum | 1985 |
|---|---|
| 5-th percentile | 1987 |
| Q1 | 1994 |
| median | 2000 |
| Q3 | 2011 |
| 95-th percentile | 2019 |
| Maximum | 2022 |
| Range | 37 |
| Interquartile range (IQR) | 17 |
Descriptive statistics
| Standard deviation | 10.38151 |
|---|---|
| Coefficient of variation (CV) | 0.0051858201 |
| Kurtosis | -1.0563394 |
| Mean | 2001.9032 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.23810968 |
| Sum | 1.6908876 × 108 |
| Variance | 107.77575 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=38)
| Value | Count | Frequency (%) |
| 2000 | 3502 | 4.1% |
| 1999 | 3407 | 4.0% |
| 1998 | 3162 | 3.7% |
| 1997 | 3157 | 3.7% |
| 1996 | 3035 | 3.6% |
| 2001 | 2970 | 3.5% |
| 1995 | 2807 | 3.3% |
| 2002 | 2769 | 3.3% |
| 1993 | 2656 | 3.1% |
| 1994 | 2600 | 3.1% |
| Other values (28) | 54399 |
| Value | Count | Frequency (%) |
| 1985 | 1944 | |
| 1986 | 2224 | |
| 1987 | 2284 | |
| 1988 | 2361 | |
| 1989 | 2369 | |
| 1990 | 2471 | |
| 1991 | 2281 | |
| 1992 | 2469 | |
| 1993 | 2656 | |
| 1994 | 2600 |
| Value | Count | Frequency (%) |
| 2022 | 1123 | |
| 2021 | 1271 | |
| 2020 | 1373 | |
| 2019 | 2219 | |
| 2018 | 2240 | |
| 2017 | 2106 | |
| 2016 | 1949 | |
| 2015 | 1828 | |
| 2014 | 1786 | |
| 2013 | 1848 |
Month_num
Real number (ℝ)
| Distinct | 12 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.4921505 |
| Minimum | 1 |
|---|---|
| Maximum | 12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 660.0 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 6 |
| Q3 | 9 |
| 95-th percentile | 12 |
| Maximum | 12 |
| Range | 11 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.4585515 |
|---|---|
| Coefficient of variation (CV) | 0.53272817 |
| Kurtosis | -1.2207545 |
| Mean | 6.4921505 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.002109707 |
| Sum | 548353 |
| Variance | 11.961578 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 3 | 7133 | |
| 1 | 7108 | |
| 12 | 7090 | |
| 2 | 7087 | |
| 9 | 7056 | |
| 10 | 7034 | |
| 7 | 7031 | |
| 6 | 7017 | |
| 8 | 7015 | |
| 4 | 6976 | |
| Other values (2) | 13917 |
| Value | Count | Frequency (%) |
| 1 | 7108 | |
| 2 | 7087 | |
| 3 | 7133 | |
| 4 | 6976 | |
| 5 | 6947 | |
| 6 | 7017 | |
| 7 | 7031 | |
| 8 | 7015 | |
| 9 | 7056 | |
| 10 | 7034 |
| Value | Count | Frequency (%) |
| 12 | 7090 | |
| 11 | 6970 | |
| 10 | 7034 | |
| 9 | 7056 | |
| 8 | 7015 | |
| 7 | 7031 | |
| 6 | 7017 | |
| 5 | 6947 | |
| 4 | 6976 | |
| 3 | 7133 |
passenger_in_out
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 660.0 KiB |
| IN | |
|---|---|
| OUT | |
| SAME |
Length
| Max length | 4 |
|---|---|
| Median length | 3 |
| Mean length | 2.602446 |
| Min length | 2 |
Characters and Unicode
| Total characters | 219813 |
|---|---|
| Distinct characters | 9 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | IN |
|---|---|
| 2nd row | IN |
| 3rd row | IN |
| 4th row | OUT |
| 5th row | IN |
Common Values
| Value | Count | Frequency (%) |
| IN | 39810 | |
| OUT | 38423 | |
| SAME | 6231 | 7.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| in | 39810 | |
| out | 38423 | |
| same | 6231 | 7.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| I | 39810 | |
| N | 39810 | |
| O | 38423 | |
| U | 38423 | |
| T | 38423 | |
| S | 6231 | 2.8% |
| A | 6231 | 2.8% |
| M | 6231 | 2.8% |
| E | 6231 | 2.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 219813 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| I | 39810 | |
| N | 39810 | |
| O | 38423 | |
| U | 38423 | |
| T | 38423 | |
| S | 6231 | 2.8% |
| A | 6231 | 2.8% |
| M | 6231 | 2.8% |
| E | 6231 | 2.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 219813 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| I | 39810 | |
| N | 39810 | |
| O | 38423 | |
| U | 38423 | |
| T | 38423 | |
| S | 6231 | 2.8% |
| A | 6231 | 2.8% |
| M | 6231 | 2.8% |
| E | 6231 | 2.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 219813 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| I | 39810 | |
| N | 39810 | |
| O | 38423 | |
| U | 38423 | |
| T | 38423 | |
| S | 6231 | 2.8% |
| A | 6231 | 2.8% |
| M | 6231 | 2.8% |
| E | 6231 | 2.8% |
| Passengers_In | Freight_In_(tonnes) | Mail_In_(tonnes) | Passengers_Out | Freight_Out_(tonnes) | Mail_Out_(tonnes) | Passengers_Total | Freight_Total_(tonnes) | Mail_Total_(tonnes) | Year | Month_num | AustralianPort | Country | passenger_in_out | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Passengers_In | 1.000 | 0.727 | 0.581 | 0.970 | 0.740 | 0.477 | 0.991 | 0.719 | 0.568 | 0.330 | -0.003 | 0.083 | 0.152 | 0.085 |
| Freight_In_(tonnes) | 0.727 | 1.000 | 0.663 | 0.721 | 0.807 | 0.502 | 0.724 | 0.952 | 0.642 | 0.280 | 0.013 | 0.077 | 0.135 | 0.016 |
| Mail_In_(tonnes) | 0.581 | 0.663 | 1.000 | 0.582 | 0.639 | 0.650 | 0.584 | 0.661 | 0.883 | 0.111 | 0.005 | 0.083 | 0.093 | 0.050 |
| Passengers_Out | 0.970 | 0.721 | 0.582 | 1.000 | 0.749 | 0.478 | 0.991 | 0.721 | 0.570 | 0.337 | 0.005 | 0.085 | 0.154 | 0.086 |
| Freight_Out_(tonnes) | 0.740 | 0.807 | 0.639 | 0.749 | 1.000 | 0.545 | 0.748 | 0.914 | 0.640 | 0.223 | 0.009 | 0.063 | 0.172 | 0.049 |
| Mail_Out_(tonnes) | 0.477 | 0.502 | 0.650 | 0.478 | 0.545 | 1.000 | 0.479 | 0.517 | 0.860 | -0.049 | 0.008 | 0.056 | 0.084 | 0.039 |
| Passengers_Total | 0.991 | 0.724 | 0.584 | 0.991 | 0.748 | 0.479 | 1.000 | 0.721 | 0.572 | 0.333 | 0.001 | 0.085 | 0.156 | 0.083 |
| Freight_Total_(tonnes) | 0.719 | 0.952 | 0.661 | 0.721 | 0.914 | 0.517 | 0.721 | 1.000 | 0.645 | 0.276 | 0.012 | 0.073 | 0.165 | 0.038 |
| Mail_Total_(tonnes) | 0.568 | 0.642 | 0.883 | 0.570 | 0.640 | 0.860 | 0.572 | 0.645 | 1.000 | 0.055 | 0.010 | 0.083 | 0.101 | 0.055 |
| Year | 0.330 | 0.280 | 0.111 | 0.337 | 0.223 | -0.049 | 0.333 | 0.276 | 0.055 | 1.000 | -0.018 | 0.128 | 0.200 | 0.131 |
| Month_num | -0.003 | 0.013 | 0.005 | 0.005 | 0.009 | 0.008 | 0.001 | 0.012 | 0.010 | -0.018 | 1.000 | 0.000 | 0.000 | 0.209 |
| AustralianPort | 0.083 | 0.077 | 0.083 | 0.085 | 0.063 | 0.056 | 0.085 | 0.073 | 0.083 | 0.128 | 0.000 | 1.000 | 0.179 | 0.124 |
| Country | 0.152 | 0.135 | 0.093 | 0.154 | 0.172 | 0.084 | 0.156 | 0.165 | 0.101 | 0.200 | 0.000 | 0.179 | 1.000 | 0.276 |
| passenger_in_out | 0.085 | 0.016 | 0.050 | 0.086 | 0.049 | 0.039 | 0.083 | 0.038 | 0.055 | 0.131 | 0.209 | 0.124 | 0.276 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| Month | AustralianPort | ForeignPort | Country | Passengers_In | Freight_In_(tonnes) | Mail_In_(tonnes) | Passengers_Out | Freight_Out_(tonnes) | Mail_Out_(tonnes) | Passengers_Total | Freight_Total_(tonnes) | Mail_Total_(tonnes) | Year | Month_num | passenger_in_out | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Jan-85 | Adelaide | Auckland | New Zealand | 1513 | 42.167 | 0.311 | 985 | 18.704 | 0.924 | 2498 | 60.871 | 1.235 | 1985 | 1 | IN |
| 1 | Jan-85 | Adelaide | Bahrain | Bahrain | 12 | 0.000 | 0.000 | 5 | 0.033 | 0.000 | 17 | 0.033 | 0.000 | 1985 | 1 | IN |
| 2 | Jan-85 | Adelaide | Bombay | India | 7 | 0.000 | 0.000 | 5 | 0.000 | 0.000 | 12 | 0.000 | 0.000 | 1985 | 1 | IN |
| 3 | Jan-85 | Adelaide | Frankfurt | Germany | 115 | 0.009 | 0.000 | 171 | 0.000 | 0.248 | 286 | 0.009 | 0.248 | 1985 | 1 | OUT |
| 4 | Jan-85 | Adelaide | London | UK | 1567 | 2.800 | 0.000 | 1472 | 10.618 | 2.487 | 3039 | 13.418 | 2.487 | 1985 | 1 | IN |
| 5 | Jan-85 | Adelaide | Muscat | Oman | 17 | 0.000 | 0.000 | 14 | 0.100 | 0.000 | 31 | 0.100 | 0.000 | 1985 | 1 | IN |
| 6 | Jan-85 | Adelaide | Rome | Italy | 79 | 0.005 | 0.000 | 44 | 0.000 | 0.000 | 123 | 0.005 | 0.000 | 1985 | 1 | IN |
| 7 | Jan-85 | Adelaide | Singapore | Singapore | 2496 | 37.345 | 0.000 | 2037 | 133.203 | 0.112 | 4533 | 170.548 | 0.112 | 1985 | 1 | IN |
| 8 | Jan-85 | Brisbane | Abu Dhabi | United Arab Emirates | 0 | 0.000 | 0.000 | 3 | 0.000 | 0.000 | 3 | 0.000 | 0.000 | 1985 | 1 | OUT |
| 9 | Jan-85 | Brisbane | Auckland | New Zealand | 7157 | 223.258 | 0.671 | 5652 | 33.032 | 3.218 | 12809 | 256.290 | 3.889 | 1985 | 1 | IN |
| Month | AustralianPort | ForeignPort | Country | Passengers_In | Freight_In_(tonnes) | Mail_In_(tonnes) | Passengers_Out | Freight_Out_(tonnes) | Mail_Out_(tonnes) | Passengers_Total | Freight_Total_(tonnes) | Mail_Total_(tonnes) | Year | Month_num | passenger_in_out | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 84454 | Sep-22 | Sydney | Shanghai | China | 987 | 685.574 | 0.000 | 856 | 997.929 | 5.260 | 1843 | 1683.503 | 5.260 | 2022 | 9 | IN |
| 84455 | Sep-22 | Sydney | Shenzhen | China | 0 | 1315.649 | 0.000 | 0 | 416.195 | 0.000 | 0 | 1731.844 | 0.000 | 2022 | 9 | SAME |
| 84456 | Sep-22 | Sydney | Singapore | Singapore | 71036 | 6253.855 | 36.168 | 65607 | 2335.260 | 8.701 | 136643 | 8589.115 | 44.869 | 2022 | 9 | IN |
| 84457 | Sep-22 | Sydney | Suva | Fiji | 732 | 0.000 | 0.000 | 774 | 0.000 | 0.000 | 1506 | 0.000 | 0.000 | 2022 | 9 | OUT |
| 84458 | Sep-22 | Sydney | Taipei | Taiwan | 925 | 784.504 | 68.121 | 1050 | 951.467 | 0.084 | 1975 | 1735.971 | 68.205 | 2022 | 9 | OUT |
| 84459 | Sep-22 | Sydney | Tokyo | Japan | 9135 | 558.638 | 59.308 | 10573 | 659.217 | 29.100 | 19708 | 1217.855 | 88.408 | 2022 | 9 | OUT |
| 84460 | Sep-22 | Sydney | Vancouver | Canada | 11790 | 263.357 | 15.870 | 11410 | 339.741 | 55.791 | 23200 | 603.098 | 71.661 | 2022 | 9 | IN |
| 84461 | Sep-22 | Sydney | Wellington | New Zealand | 8329 | 1.130 | 0.000 | 9258 | 4.521 | 0.000 | 17587 | 5.651 | 0.000 | 2022 | 9 | OUT |
| 84462 | Sep-22 | Sydney | Xiamen | China | 1328 | 71.583 | 0.299 | 969 | 99.013 | 0.000 | 2297 | 170.596 | 0.299 | 2022 | 9 | IN |
| 84463 | Sep-22 | Toowoomba Wellcamp | Hong Kong | Hong Kong (SAR) | 0 | 0.000 | 0.000 | 0 | 130.466 | 0.000 | 0 | 130.466 | 0.000 | 2022 | 9 | SAME |